2 papers
cs.AI2026
Weblica: Scalable and Reproducible Training Environments for Visual Web Agents
OÄuzhan Fatih Kar, Roman Bachmann, Yuanzheng Gong +2
The web is complex, open-ended, and constantly changing, making it challenging to scale training data for visual web agents. Existing data collection attempts remain limited to off…
cs.CL2025
Language Models Improve When Pretraining Data Matches Target Tasks
David Mizrahi, Anders Boesen Lindbo Larsen, Jesse Allardice +7
Every data selection method inherently has a target. In practice, these targets often emerge implicitly through benchmark-driven iteration: researchers develop selection strategies…